Instructions to use SHENMU007/neunit_BASE_V10.13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SHENMU007/neunit_BASE_V10.13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SHENMU007/neunit_BASE_V10.13")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SHENMU007/neunit_BASE_V10.13") model = AutoModelForTextToSpectrogram.from_pretrained("SHENMU007/neunit_BASE_V10.13") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14e9e4f5677dac53ae4df7021de2b4efe7faa873873fda3e13467d3cb7cb9439
- Size of remote file:
- 585 MB
- SHA256:
- 1395c5d7882391f3847b5a93335f7e7260b241bc4f1ab468f0eaf7578855eff5
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